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Datasets on Energy Simulations of Standard and Optimized Buildings under Current and Future Weather Conditions across Europe

Author

Listed:
  • Delia D’Agostino

    (Joint Research Centre (JRC), European Commission, 21027 Ispra, Italy)

  • Danny Parker

    (FSEC Energy Research Center, Orlando, FL 32922, USA)

  • Ilenia Epifani

    (Politecnico di Milano, 20133 Milan, Italy)

  • Dru Crawley

    (Bentley Systems, Inc., Washington, DC 20016, USA)

  • Linda Lawrie

    (DHL Consulting, LLC, Pagosa Springs, CO 81147, USA)

Abstract

The building sector has a strategic role in the clean energy transition towards a fully decarbonized stock by mid-century. This data article investigates the use of different weather datasets in building energy simulations across Europe. It focuses on a standard performing building optimized to a nearly-zero level accounting for climate projections towards 2060. The provided data quantify the building energy performance in the current and future scenarios. The article investigates how heating and cooling loads change depending on the location and climate scenario. Hourly weather datasets frequently used in building energy simulations are analyzed to investigate how climatic conditions have changed over recent decades. The data give insight into the implications of the use of weather datasets on buildings in terms of energy consumption, efficiency measures (envelope, appliances, systems), costs, and renewable production. Due to the ongoing changing climate, basing building energy simulations and design optimization on obsolete weather data may produce inaccurate results and related building designs with an increased energy consumption in the coming decades. Energy efficiency will become more crucial in the future when cooling and overheating will have to be controlled with appropriate measures used in combination with renewable energy sources.

Suggested Citation

  • Delia D’Agostino & Danny Parker & Ilenia Epifani & Dru Crawley & Linda Lawrie, 2022. "Datasets on Energy Simulations of Standard and Optimized Buildings under Current and Future Weather Conditions across Europe," Data, MDPI, vol. 7(5), pages 1-18, May.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:5:p:66-:d:815792
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    References listed on IDEAS

    as
    1. Paolo Maria Congedo & Caterina Lorusso & Maria Grazia De Giorgi & Riccardo Marti & Delia D’Agostino, 2016. "Horizontal Air-Ground Heat Exchanger Performance and Humidity Simulation by Computational Fluid Dynamic Analysis," Energies, MDPI, vol. 9(11), pages 1-14, November.
    2. Delia D’Agostino & Ilaria Zacà & Cristina Baglivo & Paolo Maria Congedo, 2017. "Economic and Thermal Evaluation of Different Uses of an Existing Structure in a Warm Climate," Energies, MDPI, vol. 10(5), pages 1-29, May.
    3. Moazami, Amin & Nik, Vahid M. & Carlucci, Salvatore & Geving, Stig, 2019. "Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions," Applied Energy, Elsevier, vol. 238(C), pages 696-720.
    4. D'Agostino, D. & Parker, D. & Epifani, I. & Crawley, D. & Lawrie, L., 2022. "How will future climate impact the design and performance of nearly zero energy buildings (NZEBs)?," Energy, Elsevier, vol. 240(C).
    5. D'Agostino, Delia & Parker, Danny, 2018. "A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe," Energy, Elsevier, vol. 149(C), pages 814-829.
    6. Lu, Yuehong & Wang, Shengwei & Yan, Chengchu & Huang, Zhijia, 2017. "Robust optimal design of renewable energy system in nearly/net zero energy buildings under uncertainties," Applied Energy, Elsevier, vol. 187(C), pages 62-71.
    7. Nägeli, Claudio & Jakob, Martin & Catenazzi, Giacomo & Ostermeyer, York, 2020. "Policies to decarbonize the Swiss residential building stock: An agent-based building stock modeling assessment," Energy Policy, Elsevier, vol. 146(C).
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    Cited by:

    1. Paolo Zangheri & Delia D’Agostino & Roberto Armani & Carmen Maduta & Paolo Bertoldi, 2023. "Progress in the Cost-Optimal Methodology Implementation in Europe: Datasets Insights and Perspectives in Member States," Data, MDPI, vol. 8(6), pages 1-27, May.

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